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Ap stats > vocab > Flashcards

vocab Flashcards

1
Q

What is stats

A

The study of variability

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2
Q

What is variability

A

Differences, how things differ

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3
Q

2 branches of AP stats

A

Inferential and descriptive

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4
Q

What are descriptive stats?

A

tell what you got describing the data

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5
Q

What is inferential stats

A

look at the data and use that to say stuff about the big picture

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6
Q

Compare descriptive and inferential

A

descriptive explains about the data you have inferential uses a small portion to explain the big population

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7
Q

what is data

A

any collected infromation

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8
Q

what is population?

A

the group you are interested in

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9
Q

what is a sample?

A

a subset of the entire pop.

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10
Q

compare population and sample

A

pop is generally large where samples are subsets of these large groups

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11
Q

compare data and statistics

A

data is each little bit collected from the individual where statistic is a summary of that data if only a few samples from the population was collected exp: the mean of a data set

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12
Q

compare data and parameters

A

data is each little bit collected from the individual parameters are if we collected data from every person

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13
Q

What is a parameter

A

a numerical summary of a population

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14
Q

what is a statistic

A

a numerical summary of a sample

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15
Q

We are curious about the average wait time at Dunkin donuts drive through in your neighborhood. You randomly sample care one afternoon and find the average wait time is 3.2 minutes. what is the population parameter? what is the statistic? what is the parameter of interest? what is the data?

A

The parameter is the true average wait time and dunkin. this is a number you dont have and will never know. The statistic is 3.2 minutes. It is the average of the data you collected. The parameter of interest is the same thing as the population parameter. in this case, it is the true average wait time of all cars. the data is the wait time of each individual car, So the would be like “3.8 min, 2.2 min, .8 min, 3 min”. You take that data and find the average, that average is called a statistic, and you use that to make an inference about the true parameter.

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16
Q

Compare data-statistic-parameter using a categorical example.

A

Data are individual measures, Statistics and parameters are summaries.

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17
Q

Compare data-statistic-parameter using quantitative example.

A

Data are individual measures. Statistics and parameters are summaries of the data collected

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18
Q

what is a census?

A

information from every member in a population

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19
Q

does a census make sense?

A

only is small populations

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20
Q

what is the difference between a parameter and a statistic

A

both are summarizing bigger groups of data but parameters come from whole populations and statistics come from samples

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21
Q

if i take a random sample of 20 hamburgers from five guys and count the number of pickles on a bunch of them and one of them had 9 pickles the the number 9 from that burger would be called a?

A

datum or data value

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22
Q

if i take a random sample of 20 hamburgers from five guys and count the number of pickles on a bunch of them and the average number of pickles was 9.5 then 9.5 is considered a?

A

statistic

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23
Q

if i take a random sample of 20 hamburgers from five guys and count the number of pickles on a bunch of them and i do this bc i want to know the true average of pickles on a burger the true average number of pickles is considered a?

A

parameter a one number summary of the population

24
Q

what is the difference between sample and census?

A

sample is information from a small group of the population where census is information from the entire population.

25
Q

use population, paramte, census, sample, data, statistics, inference and population of inference in one sentence

A

I was curios about a population parameter, but a census was too costly so i decided to choose a sample, collect some data, calculate a statistic and use that statistic to make an inference about the population parameter AKA population of interest

26
Q

if you are tasting soup the the flaour of each individual thing in the spoon is the _____, the entire spoon is a ____. the flouvor of all of that stuff together is like the _____ and you use that to _____ about the flavour of the entire pot of soup, which would be the _____

A

Data, Sample. Statistic, Make and inference, Parameter

27
Q

what are random variables?

A

random people chosen from a list then the hair and eye color, weight and height are random variables

28
Q

difference between quantitative and categorical/Qualitative

A

Quantitative is using numbers where categorical is using qualities or categories

29
Q

What is the difference between quantitative and categorical/Qualitative

A

quantitative would use numbers where categorical would use words like eye color or skin tone

30
Q

Difference between discrete and continuous

A

discrete uses whole number where continuous uses decimal points and fractions

31
Q

what is a quantitative variable

A

a numerical variable

32
Q

what is a categorical variable

A

a variable that is categorized

33
Q

another name for categorical

A

qualitative

34
Q

what is quantitative data?

A

actual numbers gathered from a data set

35
Q

what is categorical data?

A

the actual individual category

36
Q

what is a random sample

A

A sample the a chosen by true randomness

37
Q

what is frequency

A

How often something appears

38
Q

data or datum?

A

datum is singular data is plural

39
Q

what is a frequency distribution

A

a table or chart that shows how often certain values appear

40
Q

what is meant by relative frequency

A

the percent of of time something appears

41
Q

how do you find relative frequency?

A

divide frequency by total

42
Q

what is meant by cumulative frequency?

A

add up the frequencies as you go

43
Q

what is relative cumulative frequency

A

the added up percentages

44
Q

difference between bar chart and histogram

A

bar chart are categorical data histograms or quantitative data

45
Q

what is mean?

A

old average we used to calculate (scrub)

46
Q

difference between population mean and sample mean

A

population mean is parameter sample mean is statistic

47
Q

what symbols do we use for population mean and sample mean?

A

Mu for pop x bar for sample

48
Q

how do you remember the difference between mean and median when looking at a histogram

A

mean is a balancing point median splits it in half

49
Q

what is the median?

A

the middle most number

50
Q

what is mode?

A

the most common number

51
Q

when do we use mode?

A

with categorical variables

52
Q

why don’t we always use mean?

A

it is not resilient its a little bitch

53
Q

When we say “the average teen” are we using mean median or mode?

A

height=mean
parental income=median
music preference=mode

54
Q

what is a example of the mean changing but not the median

A

8 peoples wallets 1, 2, 2, 5, 5, 8, 8, 9 mean is 5 so is median
8 peoples wallets 1, 2, 2, 5, 5, 8, 8, 9000 now mean is over 1000 but median is still 5

55
Q

How are the three m’s on a left skewered histogram

A

Mean median mode

56
Q

how are the three m’s on a right skewered histogram

A

opposite mode median mean

57
Q

who chases the tail?

A

the mean chases the tail the mean chases the tail high-ho the derry-oh the mean chases the tail… and outliers

Ap stats (1 decks)

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